{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "phishing", "trigger": true, "arguments": ["time", "attack pattern", "damage amount", "tool", "place", "trusted entity", "attacker", "victim", "purpose"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["vulnerability", "capabilities", "time", "supported platform", "common vulnerabilities and exposures", "vulnerable system version", "vulnerable system"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["vulnerability", "patch number", "patch", "issues addressed", "releaser", "vulnerable system version", "common vulnerabilities and exposures", "supported platform"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of victim", "compromised data", "damage amount", "place", "purpose", "number of data", "attack pattern", "time", "victim"]}, {"event_type": "ransom", "trigger": true, "arguments": ["place", "tool", "price", "time", "attacker", "payment method", "victim", "attack pattern"]}], "input": "The more sophisticated scams are crafted to look very much like a legitimate message from a site you do business with ."}
{"phishing": [{"trigger": "crafted to look very much like", "arguments": {"time": "NAN", "attack pattern": "NAN", "damage amount": "NAN", "tool": "NAN", "place": "NAN", "trusted entity": ["a legitimate message", "a site"], "attacker": "NAN", "victim": "NAN", "purpose": "NAN"}}], "discover vulnerability": [], "patch vulnerability": [], "data breach": [], "ransom": []}